An LPV polytopic embedding with integral mean value representation and LMI synthesis yields constant-gain and gain-scheduled observers ensuring exponential convergence for nonlinear port-Hamiltonian systems with state-dependent inputs.
Control- oriented modeling and analysis of tubular dielectric elastomer ac- tuators dedicated to cardiac assist devices
2 Pith papers cite this work. Polarity classification is still indexing.
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Hierarchical clustering generates fog colony candidates from device data; NSGA-II selects subsets optimizing network latency and placement runtime across nine scenarios with up to 137 generations needed to dominate controls.
citing papers explorer
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Observer design for classes of nonlinear port-Hamiltonian systems
An LPV polytopic embedding with integral mean value representation and LMI synthesis yields constant-gain and gain-scheduled observers ensuring exponential convergence for nonlinear port-Hamiltonian systems with state-dependent inputs.
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Genetic-based fog colony optimization hybridized with hierarchical clustering and its influence in the placement of fog services
Hierarchical clustering generates fog colony candidates from device data; NSGA-II selects subsets optimizing network latency and placement runtime across nine scenarios with up to 137 generations needed to dominate controls.